Yellowbrick v1.0.1
Description
Yellowbrick is an open source, pure Python project that extends the scikit-learn API with visual analysis and diagnostic tools. The Yellowbrick API also wraps matplotlib to create publication-ready figures and interactive data explorations while still allowing developers fine-grain control of figures. For users, Yellowbrick can help evaluate the performance, stability, and predictive value of machine learning models and assist in diagnosing problems throughout the machine learning workflow.
Major API change: the poof()
method is now deprecated, please use show()
instead. After a significant discussion with community members, we have deprecated our original "make the magic happen" method due to concerns about the usage of the word. We've renamed the original method to and created a stub method with the original name that issues a deprecation warning and calls show()
.
Major Changes:
- Changes
poof()
toshow()
. - Updated clustering and regression example notebooks.
- Fixes a syntax error in Python 3.5 and earlier.
- Updated Manifold documentation to fix example bug.
- Added advisors names to the release changelog.
- Adds advisory board minutes for Fall 2019.
- Updates our Travis-CI semi-secure token for Slack integration.
Files
Files
(28.8 MB)
Name | Size | Download all |
---|---|---|
md5:275de0ba4fd01207a57a573daa458f07
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28.8 MB | Download |
Additional details
Related works
- Is documented by
- http://www.scikit-yb.org/en/stable/ (URL)
- Is supplemented by
- https://github.com/DistrictDataLabs/yellowbrick/releases/tag/v0.6 (URL)